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Biometrics

Variations of Intensity Values : Basis for Iris Identification

원문정보

Eun-suk Cho, Ronnie D. Caytiles, Seok-soo Kim

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초록

영어

This study presents a new method of iris identification algorithm for iris recognition. The proposed iris identification algorithm consists of three major fundamental steps: image processing; image localization; and IER detection and extraction. In image processing, a picture of an individual’s eye is taken and processed into an 8-bit BMP image. The histogram of the image is then analyzed to locate the center point of the pupil as basis for the image localization process. In localization, the iris inner boundary (pupil area) is detected by performing an algorithm based on the logic of variation of intensity values. Iris recognition is obtained by locating the left iris area boundary of a particular eye image. The IER is then detected and extracted to be used for pattern matching. The proposed new algorithm for iris identification in iris images is likely to give a better performance for biometric authentication or identification.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Proposed Work
  3.1 Image Processing
  3.2 Image Localization
  3.3 IER Detection and Extraction
 4. Conclusion and Future Work
 References

저자정보

  • Eun-suk Cho Department of Multimedia Engineering, Hannam University
  • Ronnie D. Caytiles Department of Multimedia Engineering, Hannam University
  • Seok-soo Kim Department of Multimedia Engineering, Hannam University, Professor

참고문헌

자료제공 : 네이버학술정보

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